CN114779127A - Power transformer outgoing line short circuit impact management and control system and method thereof - Google Patents
Power transformer outgoing line short circuit impact management and control system and method thereof Download PDFInfo
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Abstract
A power transformer outgoing line short circuit impact management and control system comprises a historical fault information module, a data acquisition module, a data input module, a data processing module, a short circuit fault diagnosis module, a data calling module, a single test diagnosis module, a main transformer oil chromatography detection module and a comprehensive management and control module. The invention further comprises a using method of the power transformer outgoing line short circuit impact management and control system. By utilizing the method and the device, the fault condition in the short circuit in the near area of the transformer can be judged, the state of the transformer after the fault is reasonably analyzed, and the health condition of the transformer is obtained so as to provide a basis for the overhaul of the transformer.
Description
Technical Field
The invention relates to a management and control system, in particular to a power transformer outgoing line short circuit impact management and control system and a method thereof.
Background
The transformer is one of core devices of a power grid, and the stable and reliable operation of the transformer has great significance to a power system. Damage to the transformer occurs at times due to design manufacturing, process and operation and maintenance level limitations or system failures. Statistics shows that with the rapid development of a power grid, the short-circuit capacity of a power system is increased, and the large-current impact of a short-circuit fault in a near area is a main cause of transformer damage in recent years: under the action of electrodynamic force and mechanical force under large current during short circuit in a near area, a transformer winding is deformed, partial discharge can be caused after the winding is deformed, and under the long-term action of the partial discharge, the insulation damage part of the transformer is gradually enlarged, and finally the insulation of the transformer can be broken down. Meanwhile, when the equipment is subjected to overvoltage, the winding is likely to generate turn-to-turn short circuit, so that the insulation breakdown of the transformer is caused. Therefore, the transformer fault condition and the damage condition of the transformer subjected to short circuit impact are judged and analyzed, and the transformer fault condition judgment method has important significance for mastering the transformer condition and reasonably determining a maintenance decision.
In recent years, in order to enhance the management and control of short-circuit impact of a transformer and prevent the transformer from being damaged by short-circuit impact in a near area, a power company has provided a plurality of professional management files, and a plurality of management and control measures are provided in the aspects of short-circuit impact data collection, analysis, management, early warning and the like, but the short-circuit impact management and control measures are influenced by a plurality of factors such as large amount of short-circuit impact basic data, untimely data acquisition, low manual processing efficiency, limited bearing capacity of basic teams and groups, and the like, and although some effects are achieved, the occurrence of short-circuit impact damage events of the transformer is still not avoided. Therefore, in order to further improve the operation level of the transformer, a digital means is necessary to be utilized, and the control of the short-circuit impact of the transformer is realized by depending on multi-source data, so that the risk of short-circuit impact damage of the transformer is reduced.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the prior art and provides a power transformer outgoing line short circuit impact management and control system and a method thereof, wherein the power transformer outgoing line short circuit impact management and control system has a good transformer short circuit impact management and control effect and can reduce the risk of transformer short circuit impact damage.
The invention adopts the technical scheme that the power transformer outgoing line short circuit impact management and control system comprises a historical fault information module, a data acquisition module, a data input module, a data processing module, a short circuit fault diagnosis module, a data calling module, a single test diagnosis module, a main transformer oil chromatography detection module and a comprehensive management and control module, wherein the historical fault information module transmits storage information to the short circuit fault diagnosis module and the single test diagnosis module, the data acquisition module transmits the acquired information to the short circuit fault diagnosis module, the data input module is connected with the short circuit fault diagnosis module through the data processing module, the data calling module is connected with the single test diagnosis module, the data analysis module acquires transformer oil chromatography data in a state monitoring system, the short circuit fault diagnosis module, the single test diagnosis module and the main transformer oil chromatography detection module are connected with the comprehensive management and control module, and the comprehensive control module outputs a control strategy.
A use method of a power transformer outgoing line short circuit impact management and control system comprises the power transformer outgoing line short circuit impact management and control system and comprises the following steps:
the method comprises the following steps: presetting parameters aiming at each characteristic quantity and the control state quantity;
step two: historical trip information and fault current information are stored through a historical fault information module, a protection action diagram and a fault recording diagram after fault are input into a system through a data input module, and meanwhile, the equipment name and the equipment number of a corresponding transformer are input, the system automatically calls current frequency response test, short-circuit impedance test, capacitance test and voltage ratio test data of the current transformer and the current transformer from a PMS through a data calling module, and transformer oil chromatogram detection data are obtained from a state monitoring system;
step three: the data processing module processes the input fault recording chart and extracts the peak value of the short-circuit current and the continuous overcurrent time;
step four: the short-circuit fault diagnosis module judges the fault phase according to the amplitude of the extracted three-phase current, and matches the information of the protection action with the judgment standard in the storage unit to determine the fault type;
step five: the single-item test diagnosis module compares the state quantity value of the test with a historical value to obtain a difference value, and if one difference value in the three-phase state quantities exceeds a set threshold value, the health score of the state quantity is set to be 0;
step six: the main transformer state detection and analysis module automatically analyzes the oil chromatographic data of the transformer subjected to impact by methane, ethane, ethylene, acetylene, hydrogen and a three-ratio method to obtain the state condition of the transformer;
step seven: and the comprehensive management and control module calculates the comprehensive fraction of the state of the transformer and judges the calculation result.
Further, the setting of the feature quantity and the control state quantity in the first step specifically includes the following steps:
(1) the threshold values of frequency response test, short-circuit impedance test, capacitance test, voltage ratio test and oil chromatography detection data are determined, the characteristic parameter threshold values given by the existing standards often represent the average level of the similar equipment and cannot reflect the difference among the equipment, and the evaluation method using the threshold value structure often cannot reflect the real state level of the equipment, so that the reliability of indexes and the accuracy of evaluation results are reduced. The invention provides a characteristic parameter differentiation threshold weight calculation method based on equipment state distribution probability, namely, the equipment state distribution probability and the average fault probability are obtained by collecting the full-scale historical data of fault characteristic parameters and utilizing the probability density function and the cumulative distribution function of a two-parameter Weibull model, and the discrete interval and the differentiation early warning value of each fault characteristic parameter are calculated by utilizing the inversion of the inverse cumulative distribution function. The transformer characteristic parameters are negative degradation characteristic parameters, namely, the characteristic parameter measurement value is reduced along with the degradation of the equipment state. Constructing the membership functions shown in the formulas (1) - (4), as shown in fig. 2, it can be known that the membership degree of the equipment state degradation trend is lower as the characteristic parameter measurement value is continuously increased;
and (4) a normal state:
note that the state:
abnormal state:
severity status:
wherein x isI、xIIAnd xIIIRespectively an attention value, an abnormal value and a severity value of the characteristic parameter;
(2) setting the initial value of the weight of the fault characteristic quantity as
The initial value of the weight of each state quantity of the transformer is
The value range of each weighted value can be set between 0 and 1, and the sum of the weighted values is equal to 1; in order to avoid irrationality and preference of artificial weight setting, weight calculation of characteristic parameters based on an entropy weight method is provided, and an expression (5) is adopted:
wherein,
is an objective weight value of the index,
is characteristic parameter data.
(3) Each fault characteristic quantity can be set with a plurality of index value ranges corresponding to different scores to measure the influence degree of the fault characteristic quantity, and the score value can be set between 0 and 100. For example, the current amplitude is set to be less than
Is greater than
The corresponding fraction values of the three range segments are set as 0, a and 100, which indicate that when the current is small, the influence degree is low, and when the current is large, the influence degree is large, and a certain influence is generated in the middle segment;
the current amplitude index value range is expressed by the multiple of the rated current In of the transformer, and the storage system automatically calculates the range value according to the set multiple and the called transformer ledger data;
(4) the variation index value range of each transformer characteristic quantity is set as
When the characteristic quantity variation value is in the range, the characteristic quantity variation is defined to be smaller, the health score is 100, otherwise, the health score is 0;
(5) setting i comprehensive states of the transformer, and recording the names of the comprehensive states as
Corresponding to different comprehensive fractional sections of the transformer. In order to comprehensively consider the influence of different characteristic parameters and weights thereof, the state evaluation and setting of the multi-parameter equipment based on a weighting model are provided
The method is divided into four states of normal, attention, abnormal and severe. Is provided withmClass parameters, then establishing a weighting model, and calculating the state grade of the equipmentkThe confidence measure of (2) is shown in equation (6):
will be provided with
The maximum calculation result is taken as the corresponding state of the device.
By using the invention, the information of tripping, fault, protection action and the like of the transformer can be acquired at the first time after the transformer is subjected to short circuit impact of the outgoing line, the fault condition is judged, and the health state of the transformer is reasonably analyzed and diagnosed by synthesizing various detection test information of the transformer after the fault, so that the health condition of the transformer is obtained, thereby providing scientific basis for the accurate maintenance of the transformer.
Drawings
FIG. 1 is a schematic structural diagram of an embodiment of the present invention;
FIG. 2 is a membership function of a feature parameter threshold in an embodiment of the present invention
Schematic representation of (a).
In the figure: the system comprises a 1-historical fault information module, a 2-data acquisition module, a 3-data input module, a 4-data processing module, a 5-short circuit fault diagnosis module, a 6-data calling module, a 7-single test diagnosis module, an 8-data analysis module and a 9-comprehensive management and control module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the present embodiment includes a historical fault information module 1, a data acquisition module 2, a data input module 3, a data processing module 4, a short-circuit fault diagnosis module 5, a data call module 6, a single test diagnosis module 7, a data analysis module 8, and a comprehensive management and control module 9.
The historical fault information module 1 conveys historical trip and fault current information to the short-circuit fault diagnosis module 5 and the single test diagnosis module 7, the data acquisition module 2 conveys acquired information to the short-circuit fault diagnosis module 5, the data input module 3 is connected with the short-circuit fault diagnosis module 5 through the data processing module 4, the data calling module 6 is connected with the single test diagnosis module 7, the data analysis module 8 acquires state monitoring system data and performs oil chromatography detection and analysis, the short-circuit fault diagnosis module 5, the single test diagnosis module 7 and the data analysis module 8 are connected with the comprehensive management and control module 9, and the comprehensive management and control module 8 outputs a control strategy.
The historical fault information module 1 is used for storing a preset index value range of the fault characteristic quantity, a corresponding score and an influence weight; the system is also used for storing the weight of each state quantity of the transformer, the index value range of each state quantity, the comprehensive state and the corresponding control score range of the comprehensive state;
the data acquisition module 2 is used for acquiring a corresponding relation between a 10 kilovolt line and a 35 kilovolt line and a main transformer belonging to the lines from a D5000 mirror image system, screening a short circuit trip signal of the line in a near area from a scheduling cloud system, and judging that the logic of the near area short circuit is information of overcurrent I section protection & exit & action;
the data calling module 6 is used for calling test data of a frequency response test, a short-circuit impedance test, a capacitance test and a voltage ratio test of the equipment after the fault and corresponding historical test data from a PMS (equipment (asset) operation and maintenance lean management system);
the data input module 3 is used for inputting protection action conditions and fault recording graphs in the equipment fault process;
the data processing module 4 is used for analyzing and processing the fault oscillogram to obtain a short-circuit fault current peak value and current impact duration;
the short-circuit fault diagnosis module 5 is used for judging the type of a short circuit according to the protection action condition in the fault process, analyzing and comparing the current peak value and the duration of the current fault with a set corresponding index value range, judging whether the current fault is a short circuit in a near zone according to the short-circuit current amplitude and the duration of the short circuit current amplitude, and if the judgment result is the short circuit in the near zone, grading the influence degree of each characteristic quantity of the current fault;
the single-item test diagnosis module 7 is used for analyzing and comparing the current value and the historical value of each state quantity and scoring the change degree of each state quantity of the single-item test according to the set index value range;
the data analysis module 8 is used for diagnosing and analyzing the transformer oil chromatographic detection data and scoring the single characteristic state of the transformer;
the comprehensive control module 9 is configured to calculate a comprehensive state score of the transformer according to the influence score of the state quantity in the fault, the control score of the change degree of each state quantity in the single test and the corresponding weight in the historical fault information module, and further determine the current state of the transformer according to a preset comprehensive state and the control score range corresponding to the preset comprehensive state.
The use method of the power transformer outgoing line short circuit impact management and control system of the embodiment is as follows:
the method comprises the following steps: firstly, the following parameters are preset for each characteristic quantity and control state quantity:
assume that the expected controlled fault characteristic quantity in this embodiment is the current amplitude and the duration, which are recorded as
(ii) a Expecting to control the state quantity of the transformer to be n, and recording as
；
(1) The threshold values of frequency response test, short-circuit impedance test, capacitance test, voltage ratio test and oil chromatography detection data are determined, the characteristic parameter threshold values given by the existing standards often represent the average level of the similar equipment and cannot reflect the difference among the equipment, and the evaluation method using the threshold value structure often cannot reflect the real state level of the equipment, so that the reliability of indexes and the accuracy of evaluation results are reduced. The invention provides a method for calculating a feature parameter differentiation threshold value weight based on equipment state distribution probability, which comprises the steps of acquiring equipment state distribution probability and average fault probability by collecting full historical data of fault feature parameters and utilizing a probability density function and an accumulative distribution function of a two-parameter Weibull model, and calculating a discrete interval and a differentiation early warning value of each fault feature parameter by utilizing inverse accumulative distribution function inversion. The transformer characteristic parameters are negative degradation characteristic parameters, namely, the characteristic parameter measurement value decreases along with the degradation of the equipment state. As shown in fig. 2, it can be seen that the membership degree of the deterioration tendency of the equipment state is lower as the measured value of the characteristic parameter is increased by constructing the membership functions expressed by the expressions (1) to (4).
And (4) a normal state:
note the state:
abnormal state:
severe state:
wherein x isI、xIIAnd xIIIRespectively an attention value, an abnormal value and a severity value of the characteristic parameter; for the present embodiment, the values refer to the capacitance, the short-circuit impedance, the voltage ratio, the frequency response, the attention value, the abnormal value and the severity value of the oil chromatogram, and the three values can be inquired from the transformer industry standard.
(2) Setting the weight initial value of the fault characteristic quantity as
The initial value of the weight of each state quantity of the transformer is
The value range of each weighted value can be set between 0 and 1, and the sum of the weighted values is equal to 1; in order to avoid irrationality and preference of artificial weight setting, weight calculation of characteristic parameters based on an entropy weight method is provided, and an expression (5) is adopted:
wherein,
is an objective weight value of the index,
is characteristic parameter data.
(3) Each fault characteristic quantity can be provided with a plurality of index value ranges corresponding to different scores to measure the influence degree of the fault characteristic quantity, and the value of the score can be set to be between 0 and 100. For example, the current amplitude is set to be less than
Is greater than
The corresponding fraction values of the three range segments are set to be 0, a and 100, which shows that the influence degree is low when the current is small, and the influence degree is large when the current is large, and certain influence is generated in the middle segment;
the current amplitude index value range is expressed by the multiple of the rated current In of the transformer, and the storage system automatically calculates the range value according to the set multiple and the called transformer ledger data;
(4) the variation index value range of each transformer characteristic quantity is set as
When the change value of the characteristic quantity is in the range, the change of the characteristic quantity is defined to be smaller, the health score is 100, otherwise, the change is 0;
(5) setting i comprehensive states of the transformer, and recording the names of the comprehensive states as
Corresponding to different comprehensive fractional sections of the transformer. In order to comprehensively consider the influence of different characteristic parameters and weights thereof, the state evaluation and setting of the multi-parameter equipment based on a weighting model are provided
The method is divided into four states of normal, attention, abnormity and severity. Is provided withmClass parameters, then establishing a weighting model, and calculating the state grade of the equipmentkThe confidence measure of (2) is shown in equation (6):
will be provided with
The maximum calculation result is taken as the corresponding state of the device.
Step two: the historical fault information module 1 stores the various management and control indexes, when the state management and control system for the transformer after short circuit in the near area of the transformer in the embodiment is used for managing and controlling the state of the transformer, a protection action diagram and a fault recording diagram after the fault are input into the system through the data input module 3, and the equipment name and the equipment number of the corresponding transformer are input at the same time, so that the system can automatically call the current frequency response test, the short circuit impedance test, the capacitance test and the voltage ratio test data of the current transformer from the PMS system through the data call module 6;
step three: the data processing module 4 processes the input fault recording chart and extracts the peak value of the short-circuit current and the continuous overcurrent time;
step four: the short-circuit fault diagnosis module 5 judges the fault phase according to the extracted amplitude of the three-phase current, and matches the information of the protection action with the judgment standard in the storage unit to determine the fault type;
step five: the single-item test diagnosis module 7 compares the state quantity value of the test with a historical value to obtain a difference value, the data analysis module 8 obtains oil chromatogram data to calculate a single-item index value and a three-item ratio, a new threshold value of the characteristic quantity is determined according to the formula (1) to the formula (4), and if the current data exceeds the new threshold value, the health score of the state quantity is set to be 0;
step six: the comprehensive management and control module 9 calculates the comprehensive fraction of the transformer state and judges the calculation result.
The control algorithm preset by the comprehensive control module 9 in the sixth step is as follows:
wherein,Vfor the comprehensive scoring of the transformer, the state of the transformer is determined according to the formula (6) by the comprehensive scoring
， 
Is as followsiThe influence score of each fault characteristic quantity (divided into two items of current peak value and short-circuit time),
is a firstiIn the item testjThe control score of the degree of change of each state quantity,
is as followsiThe weight of the influence of the individual fault characteristic quantities,
is as followsiIn the item testjThe weight of each state quantity in the transformer state management and control;
the comprehensive control module 9 determines the state of the transformer according to the reference value range of the calculated value.
The calculated value range of the state control after the short circuit in the near zone of the transformer and the corresponding state comparison table are shown in the following table. According to the electric power industry evaluation standards, in generalnAnd taking 4.
It is worth pointing out that the system utilizes the data calling module 6 to call the transformer test data from the PMS system, fully utilizes the PMS equipment (asset) operation and maintenance lean management system, breaks through the time and place limitation of state control on the transformer, and greatly improves the efficiency of extracting data.
For the power transformer, the transformer can be comprehensively diagnosed by referring to the following state quantities in application.
The preset parameters are shown in the following table:
in the implementation, the diagnosis result of the state after the short circuit impact of the transformer outlet line is suggested to be divided into four grades (nTaking 4):
various modifications and variations of the present invention may be made by those skilled in the art, and they are still within the scope of the present patent invention provided they are within the scope of the claims and their equivalents.
What is not described in detail in the specification is prior art that is well known to those skilled in the art.
Claims (3)
1. The utility model provides a power transformer short circuit that is qualified for next round of competitions strikes management and control system which characterized in that: the transformer oil chromatography monitoring system comprises a historical fault information module, a data acquisition module, a data input module, a data processing module, a short-circuit fault diagnosis module, a data calling module, a single-item test diagnosis module, a main oil chromatography detection module and a comprehensive management and control module, wherein the historical fault information module is used for transmitting stored information to the short-circuit fault diagnosis module and the single-item test diagnosis module, the data acquisition module is used for transmitting the acquired information to the short-circuit fault diagnosis module, the data input module is connected with the short-circuit fault diagnosis module through the data processing module, the data calling module is connected with the single-item test diagnosis module, the data analysis module is used for acquiring transformer oil chromatography data in the state monitoring system, the short-circuit fault diagnosis module, the single-item test diagnosis module and the main oil chromatography detection module are connected with the comprehensive management and control module, and the comprehensive management and control module is used for outputting a control strategy.
2. A using method of a power transformer outgoing line short circuit impact management and control system comprises the power transformer outgoing line short circuit impact management and control system of claim 1, and is characterized by comprising the following steps:
the method comprises the following steps: presetting parameters aiming at each characteristic quantity and the control state quantity;
step two: historical trip information and fault current information are stored through a historical fault information module, a protection action diagram and a fault recording diagram after fault are input into a system through a data input module, and meanwhile, the equipment name and the equipment number of a corresponding transformer are input, the system automatically calls current frequency response test, short-circuit impedance test, capacitance test and voltage ratio test data of the current transformer and the current transformer from a PMS through a data calling module, and transformer oil chromatogram detection data are obtained from a state monitoring system;
step three: the data processing module processes the input fault recording chart and extracts the peak value of the short-circuit current and the continuous overcurrent time;
step four: the short-circuit fault diagnosis module judges the fault phase according to the amplitude of the extracted three-phase current, and matches the information of the protection action with the judgment standard in the storage unit to determine the fault type;
step five: the single-item test diagnosis module compares the state quantity value of the test with a historical value to obtain a difference value, and if one difference value in the three-phase state quantities exceeds a set threshold value, the health score of the state quantity is set to be 0;
step six: the main transformer state detection and analysis module automatically analyzes methane, ethane, ethylene, acetylene, hydrogen and three-ratio method on the oil chromatographic data of the transformer after being impacted to obtain the state condition of the transformer;
step seven: and the comprehensive management and control module calculates the comprehensive fraction of the state of the transformer and judges the calculation result.
3. The use method of the power transformer outgoing line short circuit impact management and control system according to claim 2 is characterized in that: the setting of the characteristic quantity and the control state quantity in the first step specifically comprises the following steps:
(1) acquiring the state distribution probability and the average fault probability of equipment by collecting the full-scale historical data of fault characteristic parameters and utilizing the probability density function and the cumulative distribution function of a two-parameter Weibull model, and calculating the discrete interval and the differentiated early warning value of each fault characteristic parameter by utilizing the inverse cumulative distribution function; because the transformer characteristic parameters are negative degradation characteristic parameters, namely, the characteristic parameter measurement values are reduced along with the degradation of the equipment state, the membership functions shown in the formulas (1) to (4) are constructed:
and (3) normal state:
note the state:
abnormal state:
severity status:
wherein x isI、xIIAnd xIIIRespectively an attention value, an abnormal value and a severity value of the characteristic parameter;
(2) setting the weight initial value of the fault characteristic quantity as
The initial value of the weight of each state quantity of the transformer is
Setting the value range of each weighted value between 0 and 1, and meeting the condition that the sum of the weighted values is equal to 1; in order to avoid irrational and preference of artificially setting weight, weight calculation of characteristic parameters based on an entropy weight method is proposed, and an expression (5) is adopted:
wherein,
is an objective weight value of the index,
characteristic parameter data;
(3) setting the current amplitude to be less than
Is greater than
The corresponding fraction values of the three range segments are set to be 0, a and 100, which shows that the influence degree is low when the current is small, and the influence degree is large when the current is large, and certain influence is generated in the middle segment; the current amplitude index value range is expressed by the multiple of the rated current In of the transformer, and the storage system automatically calculates the range value according to the set multiple and the called transformer ledger data;
(4) the variation index value range of each transformer characteristic quantity is set as
When the characteristic amount changesValues within this range are defined as those for which the characteristic amount has a small change in health score of 100, otherwise 0;
(5) setting i comprehensive states of the transformer, and recording the names of the comprehensive states as
Corresponding to different comprehensive fractional sections of the transformer
Dividing into four states of normal, attention, abnormal and serious; is provided withmClass parameters, then establishing a weighting model, and calculating the state grade of the equipmentkThe confidence measure of (2) is shown in equation (6):
will be provided with
The maximum calculation result is used as the corresponding state of the equipment.
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| CN202210708478.4A CN114779127A (en) | 2022-06-22 | 2022-06-22 | Power transformer outgoing line short circuit impact management and control system and method thereof |
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